Leonard F. Richardson

Measure and Integration

A Concise Introduction to Real Analysis

• Gebundenes Buch

Produktbeschreibung

A uniquely accessible book for general measure and integration, emphasizing the real line, Euclidean space, and the underlying role of translation in real analysis

Measure and Integration: A Concise Introduction to Real Analysis presents the basic concepts and methods that are important for successfully reading and understanding proofs. Blending coverage of both fundamental and specialized topics, this book serves as a practical and thorough introduction to measure and integration, while also facilitating a basic understanding of real analysis.

The author develops the theory of measure and integration on abstract measure spaces with an emphasis of the real line and Euclidean space. Additional topical coverage includes:
Measure spaces, outer measures, and extension theorems

Lebesgue measure on the line and in Euclidean space

Measurable functions, Egoroff's theorem, and Lusin's theorem

Convergence theorems for integrals

Product measures and Fubini's theorem

Differentiation theorems for functions of real variables

Decomposition theorems for signed measures

Absolute continuity and the Radon-Nikodym theorem

Lp spaces, continuous-function spaces, and duality theorems

Translation-invariant subspaces of L2 and applications

The book's presentation lays the foundation for further study of functional analysis, harmonic analysis, and probability, and its treatment of real analysis highlights the fundamental role of translations. Each theorem is accompanied by opportunities to employ the concept, as numerous exercises explore applications including convolutions, Fourier transforms, and differentiation across the integral sign.

Providing an efficient and readable treatment of this classical subject, Measure and Integration: A Concise Introduction to Real Analysis is a useful book for courses in real analysis at the graduate level. It is also a valuable reference for practitioners in the mathematical sciences.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 256
• Erscheinungstermin: 1. Juli 2009
• Englisch
• Abmessung: 241mm x 159mm x 20mm
• Gewicht: 467g
• ISBN-13: 9780470259542
• ISBN-10: 047025954X
• Artikelnr.: 26177499

Autorenporträt

Leonard F. Richardson, PhD, is Herbert Huey McElveen Professor and Director of Graduate Studies in Mathematics at Louisiana State University, where he is also Assistant Chair of the Department of Mathematics. Dr. Richardson's research interests include harmonic analysis, homogeneous spaces, and representation theory. He is the author of Advanced Calculus: An Introduction to Linear Analysis, also published by Wiley.

Inhaltsangabe

Preface. Acknowledgments. Introduction. 1 History of the Subject. 1.1
History of the Idea. 1.2 Deficiencies of the Riemann Integral. 1.3
Motivation for the Lebesgue Integral. 2 Fields, Borel Fields and Measures.
2.1 Fields, Monotone Classes, and Borel Fields. 2.2 Additive Measures. 2.3
Carathéodory Outer Measure. 2.4 E. Hopf's Extension Theorem. 3 Lebesgue
Measure. 3.1 The Finite Interval [-N,N). 3.2 Measurable Sets, Borel Sets,
and the Real Line. 3.3 Measure Spaces and Completions. 3.4 Semimetric Space
of Measurable Sets. 3.5 Lebesgue Measure in Rn. 3.6 Jordan Measure in Rn. 4
Measurable Functions. 4.1 Measurable Functions. 4.2 Limits of Measurable
Functions. 4.3 Simple Functions and Egoroff's Theorem. 4.4 Lusin's Theorem.
5 The Integral. 5.1 Special Simple Functions. 5.2 Extending the Domain of
the Integral. 5.3 Lebesgue Dominated Convergence Theorem. 5.4 Monotone
Convergence and Fatou's Theorem. 5.5 Completeness of L1 and the Pointwise
Convergence Lemma. 5.6 Complex Valued Functions. 6 Product Measures and
Fubini's Theorem. 6.1 Product Measures. 6.2 Fubini's Theorem. 6.3
Comparison of Lebesgue and Riemann Integrals. 7 Functions of a Real
Variable. 7.1 Functions of Bounded Variation. 7.2 A Fundamental Theorem for
the Lebesgue Integral. 7.3 Lebesgue's Theorem and Vitali's Covering
Theorem. 7.4 Absolutely Continuous and Singular Functions. 8 General
Countably Additive Set Functions. 8.1 Hahn Decomposition Theorem. 8.2
Radon-Nikodym Theorem. 8.3 Lebesgue Decomposition Theorem. 9. Examples of
Dual Spaces from Measure Theory. 9.1 The Banach Space Lp. 9.2 The Dual of a
Banach Space. 9.3 The Dual Space of Lp. 9.4 Hilbert Space, Its Dual, and
L². 9.5 Riesz-Markov-Saks-Kakutani Theorem. 10 Translation Invariance in
Real Analysis. 10.1 An Orthonormal Basis for L²(T). 10.2 Closed Invariant
Subspaces of L²(T). 10.3 Schwartz Functions: Fourier Transform and
Inversion. 10.4 Closed, Invariant Subspaces of L²(R). 10.5 Irreducibility
of L²(R) Under Translations and Rotations. Appendix A: The Banach-Tarski
Theorem. A.1 The Limits to Countable Additivity. References. Index.